Predicting compositions of microbial communities from stoichiometric models 
with applications for the biogas process

Koch, Sabine; Benndorf, Dirk; Reichl, Udo; Klamt, Steffen

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Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process

Koch, S., Benndorf, D., Reichl, U., & Klamt, S. (2016). Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process. Talk presented at Annual Conference 2016 of the Association for General and Applied Microbiology (VAAM). Jena, Germany. 2016-03-13 - 2016-03-16.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-E63E-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-E63F-7

Genre: Talk

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Creators:
Koch, Sabine^{1, 2}, Author
Benndorf, Dirk³, Author
Reichl, Udo³, Author
Klamt, Steffen¹, Author

Affiliations:
1Analysis and Redesign of Biological Networks, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738139
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143
3Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738140

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Language(s): eng - English

Dates: Created: 2016

Publication Status: Not specified

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Rev. Type: Peer

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Title: Annual Conference 2016 of the Association for General and Applied Microbiology (VAAM)

Place of Event: Jena, Germany

Start-/End Date: 2016-03-13 - 2016-03-16

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